diff --git a/stargazer/stargazer.py b/stargazer/stargazer.py
index 0bdc65e..404991e 100644
--- a/stargazer/stargazer.py
+++ b/stargazer/stargazer.py
@@ -144,6 +144,7 @@ def extract_data(self):
         for use or modification. They should not be able to
         be modified by any rendering parameters.
         """
+
         self.model_data = []
         for m in self.models:
             self.model_data.append(self.extract_model_data(m))
@@ -344,7 +345,7 @@ class Renderer:
     def __init__(self, table, **kwargs):
         """
         Initialize a new renderer.
-        
+
         "table": Stargazer object to render
         """
 
diff --git a/stargazer/translators/__init__.py b/stargazer/translators/__init__.py
index 33e70ee..090e87a 100644
--- a/stargazer/translators/__init__.py
+++ b/stargazer/translators/__init__.py
@@ -13,3 +13,10 @@ def register_class(klass, extractor):
 except ModuleNotFoundError:
     # linearmodels not found
     pass
+
+### PYFIXEST ###
+try:
+    from .pyfixest import classes
+except ModuleNotFoundError:
+    # pyfixest not found
+    pass
\ No newline at end of file
diff --git a/stargazer/translators/pyfixest.py b/stargazer/translators/pyfixest.py
new file mode 100644
index 0000000..cc3aba7
--- /dev/null
+++ b/stargazer/translators/pyfixest.py
@@ -0,0 +1,52 @@
+"""
+Compatibility layer with results from pyfixest.
+"""
+
+from ..starlib import _extract_feature
+
+from . import register_class
+from pyfixest.estimation.feols_ import Feols
+from pyfixest.estimation.feiv_ import Feiv
+from pyfixest.estimation.fepois_ import Fepois
+
+# For features that are simple attributes of "model", establish the
+# mapping with internal name:
+
+pyfixest_map = {
+                   'r2' : '_r2',
+                   'cov_names' : '_coefnames',
+                   'nobs' : '_N',
+                   }
+
+def extract_model_data(model):
+
+    data = {}
+    for key, val in pyfixest_map.items():
+        data[key] = _extract_feature(model, val)
+
+    data['dependent_variable'] = model._fml.split("~")[0].replace(" ", "")
+    data['cov_values'] = model.coef()
+    data['cov_std_err'] = model.se()
+    data['p_values'] = model.pvalue()
+    data['conf_int_low_values'] = model.confint().iloc[:,0]
+    data['conf_int_high_values'] = model.confint().iloc[:,1]
+
+
+    data['resid_std_err'] = None
+    data['degree_freedom_resid'] = None
+    data["f_statistic"] = None
+    data["f_p_value"] = None
+    data["r2_adj"] = None
+    data["pseudo_r2"] = None
+
+    return data
+
+
+classes = [(Feols, extract_model_data),
+           (Fepois, extract_model_data),
+           (Feiv, extract_model_data)
+           ]
+
+for klass, translator in classes:
+    register_class(klass, translator)
+